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Statistical predictability of the Arctic sea ice volume anomaly: identifying predictors and optimal sampling locations
Ponsoni, Leandro
Massonnet, Francois
Docquier, David
SMHI, Research Department, Climate research - Rossby Centre.
ORCID iD:
0000-0002-5720-4253
Van Achter, Guillian
Fichefet, Thierry
Show others and affiliations
2020 (English)
In:
The Cryosphere, ISSN 1994-0416, E-ISSN 1994-0424, Vol. 14, no 7, p. 2409-2428
Article in journal (Refereed) Published
Place, publisher, year, edition, pages
2020. Vol. 14, no 7, p. 2409-2428
National Category
Climate Research
Research subject
Climate
Identifiers
URN:
urn:nbn:se:smhi:diva-5832
DOI:
10.5194/tc-14-2409-2020
ISI:
000557334500001
OAI: oai:DiVA.org:smhi-5832
DiVA, id:
diva2:1460795
Available from:
2020-08-25
Created:
2020-08-25
Last updated:
2020-08-25
Bibliographically approved
Open Access in DiVA
Statistical predictability of the Arctic sea ice volume anomaly
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Docquier, David
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https://urn.kb.se/resolve?urn=urn:nbn:se:smhi:diva-5832
Direct link
http://smhi.diva-portal.org/smash/record.jsf?pid=diva2:1460795
Cite
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ieee
modern-language-association-8th-edition
vancouver
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apa
ieee
modern-language-association-8th-edition
vancouver
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en-GB
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